Prediction of Web Browsing Behavior based on Sequential Data Mining.

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Bibliographic Details
Title: Prediction of Web Browsing Behavior based on Sequential Data Mining.
Authors: Li-Ching Ma1 lcma@nuu.edu.tw, Pei-Pei Hsu2 pphsu@isu.edu.tw
Source: International Journal of Electronic Commerce Studies. 2022, Vol. 13 Issue 3, p1-20. 20p.
Database: Business Source Ultimate
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  Data: Prediction of Web Browsing Behavior based on Sequential Data Mining.
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  Data: <searchLink fieldCode="AR" term="%22Li-Ching+Ma%22">Li-Ching Ma</searchLink><relatesTo>1</relatesTo><i> lcma@nuu.edu.tw</i><br /><searchLink fieldCode="AR" term="%22Pei-Pei+Hsu%22">Pei-Pei Hsu</searchLink><relatesTo>2</relatesTo><i> pphsu@isu.edu.tw</i>
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Electronic+Commerce+Studies%22">International Journal of Electronic Commerce Studies</searchLink>. 2022, Vol. 13 Issue 3, p1-20. 20p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=bsu&AN=160158409
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.7903/ijecs.2061
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      – Code: eng
        Text: English
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        PageCount: 20
        StartPage: 1
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      – TitleFull: Prediction of Web Browsing Behavior based on Sequential Data Mining.
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          Name:
            NameFull: Li-Ching Ma
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            NameFull: Pei-Pei Hsu
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            – D: 01
              M: 09
              Text: 2022
              Type: published
              Y: 2022
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              Value: 13
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            – TitleFull: International Journal of Electronic Commerce Studies
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